Machine Learning Engineer - Tenderd (YC S18), Dubai

Join Tenderd, a cutting-edge AI-powered analytics platform for fleet operations, as a Machine Learning Engineer in Dubai. Contribute to our vision of orchestrating and automating machines to sustainably build humanity's future. We partner with global leaders in E-commerce, Logistics, Energy, and Construction to optimize capital equipment, reduce fuel consumption, and enhance overall operational efficiency.

About Us:

Tenderd is at the forefront of AI-driven fleet analytics, pioneering transformative solutions for diverse industries. With a commitment to sustainability and innovation, we leverage technology to turn equipment, vehicles, and vessels into "smart" machines. Backed by significant investors like Y Combinator, GFC, and DynamoVC, we are shaping the future of fleet operations.

You will be joining a team that is:

• Fast-paced, dynamic, and aligned with leading Silicon Valley standards.
• Supportive, diverse, and driven by meritocracy.
• Focused on ownership, autonomy, and making a meaningful impact.

Role & Responsibilities

As a Machine Learning Engineer, you will:

• Design and develop algorithms, focusing on pattern recognition and machine learning applications.
• Implement machine learning models, utilizing statistical analysis and data mining techniques.
• Develop and optimize neural networks to enhance analytical models.
• Collaborate with cross-functional teams to integrate machine learning solutions into our analytics platform.
• Utilize strong programming skills in Python or JavaScript for effective implementation.
• Work independently and collaboratively to meet project goals.
• Demonstrate excellent problem-solving and analytical skills.

Qualifications

• Proven experience in designing and developing machine learning applications, with a focus on computer vision.
• Strong programming skills in Python
• Familiarity with neural networks, LLMs, deep learning, computer vision and any other algorithms is a plus
• Expertise with PyTorch, Tensorflow or similar
• Expertise with managing labeling processes
• Data Engineering experience is a strong plus
• Ability to work independently and in a team environment. We are primarily on-site, with some WFH allowance.
• Experience in the logistics or transportation industry is a plus.
• Experience with SQL or NoSQL databases is a plus.